From: Learning sparse models for a dynamic Bayesian network classifier of protein secondary structure
Method | Q3(%) | SOV(%) | MCCH | MCCE | MCCL |
---|---|---|---|---|---|
SVMpsi | 76.6 | 73.5 | 0.68 | 0.60 | 0.56 |
JNET | 76.9 | N/A | N/A | N/A | N/A |
YASSPP | 77.8 | 75.1 | 0.58 | 0.64 | 0.71 |
DBNfinal | 76.3 | 72.7 | 0.71 | 0.61 | 0.57 |
DBNpred | 77.3 | 73.0 | 0.74 | 0.61 | 0.59 |
DBNN | 78.1 | 74.0 | 0.74 | 0.64 | 0.60 |
PSIPRED | 78.2 | 77.3 | N/A | N/A | N/A |
SVM_D3 | 78.4 | N/A | N/A | N/A | N/A |
DESTRUCT | 79.4 | 77.5 | N/A | N/A | N/A |
DISSPred | 80.0 | N/A | 0.77 | 0.68 | 0.62 |
DSPRED | 80.3 | 77.7 | 0.78 | 0.68 | 0.63 |